Relacionar Columnas RelationshipsVersión en línea Match the relationship with its definition. por Paul Alves - Fletchers Meadow SS (2492) 1 hidden variables 2 extraneous variables 3 presumed relationship 4 cause and effect relationship 5 accidental relationship 6 control group 7 reverse cause and effect relationship accidental relationship presumed relationship 8 common cause relationship 9 experimental group Extraneous variables that are difficult to recognize. May invalidate conclusions drawn from statistical results. they do not receive the treatment by the researchers and are used as to compare against the group that does receive the treatment An external variable causes two variables to change the same way. A change in X produces a change in Y. Variables that affect either the dependent or the independent variable and are NOT predictable. they receive the treatment being tested The presumed dependent and independent variables are reversed in the process of determining causality. (Y causes X). A correlation exists without any causal relationship between variables. A correlation doesn’t appear to be accidental even though there is no apparent cause and effect or common cause relationship. A correlation exists without any causal relationship between variables. A correlation doesn’t appear to be accidental even though there is no apparent cause and effect or common cause relationship.
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